Senior Data Engineer — Build Scalable Data Platform

McNeil & Co.; Manila; On-site; PHP 1,339,000 - 2,344,000; Full time

Job summary

Arch Global Services (Philippines) Inc. seeks a Senior Data Engineer to own and scale a production data platform for quantitative workflows. You will ingest data from multiple sources, enforce governance, and contribute to robust APIs used by internal teams.

You will implement data quality checks, validation, and non-regression testing while collaborating with researchers and engineers to translate complex requirements into reliable systems.

Qualifications

• 5+ years of professional data engineering experience with production-grade platforms.
• Strong Python and SQL proficiency.
• Hands-on cloud platform experience (e.g., AWS/GCP/Azure).
• Experience with CI/CD pipelines and observability practices.
• Familiarity with backend APIs such as FastAPI.
• Data quality assurance and validation frameworks; troubleshooting under time pressure.

Responsibilities

• Architect, build, and own production data pipelines and storage for large financial datasets.
• Own data governance, documentation, and quality controls across pipelines.
• Design production APIs powering internal applications with scalable architecture.
• Develop robust test plans, non-regression tests, and data validation frameworks.
• Promote CI/CD and observability standards; collaborate across teams.
• Partner with quant researchers and engineers to translate needs into data solutions.

Skills

Python

SQL

Cloud platforms

ETL pipelines

GitHub Actions

Observability

FastAPI

Data quality

Data tracing

Team collaboration

Education

Bachelor's degree in Engineering/CS/IT

Tools

Snowflake

Databricks

FastAPI

Job description

Arch Global Services (Philippines) Inc. seeks a Senior Data Engineer to own and scale a production data platform for quantitative workflows. You will ingest data from multiple sources, enforce governance, and contribute to robust APIs used by internal teams.

You will implement data quality checks, validation, and non-regression testing while collaborating with researchers and engineers to translate complex requirements into reliable systems.